Removes rows from the input data set such that the values in a categorical column are equally distributed. This can be useful, for instance if a learning algorithm is prone to unequal class distributions and you want to downsize the data set so that the class attributes occur equally often in the data set.
The node will remove random rows belonging to the majority classes. The rows returned by this node will contain all records from the minority class(es) and a random sample from each of the majority classes, whereby each sample contains as many objects as the minority class contains.
Options
Popular Predecessors
Scorer7 %- Partitioning6 %
CSV Reader5 %Joiner4 %- Column Filter3 %
Table Reader2 %Excel Reader (XLS)2 %- CSV Reader2 %
- Number to String2 %
- Concatenate2 %
- Excel Reader2 %
String To Number1 %- Normalizer1 %
- Statistics1 %
- X-Partitioner1 %
- Row Sampling1 %
Counting Loop Start1 %- Loop End< 1 %
Column Appender< 1 %- Value Counter< 1 %
- Column Expressions< 1 %
Row Filter (deprecated)< 1 %- GroupBy< 1 %
- Pivot< 1 %
PCA Apply< 1 %- Domain Calculator< 1 %
- Reference Column Filter< 1 %
- Shuffle< 1 %
- Rule Engine< 1 %
- File Reader< 1 %
- Joiner< 1 %
- Workflow Executor< 1 %
- Outlier Removal< 1 %
Concatenate (Optional in)< 1 %- Numeric Binner< 1 %
- Rule-based Row Splitter< 1 %
- Scorer (JavaScript)< 1 %
- SMOTE< 1 %
- Category to Number< 1 %
- One to Many< 1 %
- Correlation Filter< 1 %
- Number Rounder< 1 %
- Constant Value Column< 1 %
- Duplicate Row Filter< 1 %
- Low Variance Filter< 1 %
- Number to String (PMML)< 1 %
- Create Date&Time Range< 1 %
- Crosstab< 1 %
- Reference Row Filter< 1 %
Number To String (PMML)< 1 %- Scorer< 1 %
- Numeric Outliers< 1 %
- DB Query Reader< 1 %
- ROC Curve (JavaScript)< 1 %
- Data Explorer< 1 %
- Counting Loop Start< 1 %
- k-Means< 1 %
- Decision Tree Predictor< 1 %
PCA< 1 %- Auto-Binner< 1 %
- Bootstrap Sampling< 1 %
- Column Resorter< 1 %
- Equal Size Sampling< 1 %
- Missing Value Column Filter< 1 %
- Nominal Value Row Filter< 1 %
Row Splitter (deprecated)< 1 %- Missing Value< 1 %
- Rank< 1 %
Column Rename< 1 %- RowID< 1 %
- Sorter< 1 %
- String Manipulation< 1 %
- Rule-based Row Filter< 1 %
- IF Switch< 1 %
- Color Manager< 1 %
- Math Formula< 1 %
- Java Snippet (simple)< 1 %
- Parameter Optimization Loop Start< 1 %
- Feature Selection Filter< 1 %
- Feature Selection Loop Start (1:1)< 1 %
Interval Loop Start< 1 %- String to Number< 1 %
- Normalizer (Apply)< 1 %
- Table Transposer< 1 %
Python Script (1⇒1)< 1 %- Date&Time Difference< 1 %
- Column Appender< 1 %
- Date&Time-based Row Filter< 1 %
- Capture Workflow Start< 1 %
- PMML Predictor< 1 %
- Weka Predictor (3.7)< 1 %
- Table Creator< 1 %
Random Forest Predictor< 1 %- Column Aggregator< 1 %
- Missing Value (Apply)< 1 %
- String Input (legacy)< 1 %
- R Snippet< 1 %
- XPath< 1 %
Database Reader< 1 %- Unpivot< 1 %
- Number to Category (Apply)< 1 %
- Table Manipulator< 1 %
File Reader< 1 %- Group Loop Start< 1 %
Tree Ensemble Learner< 1 %- Double to Integer< 1 %
XLS Reader< 1 %- RDKit Descriptor Calculation< 1 %
Variable to Table Row< 1 %- Random Forest Predictor< 1 %
- Column Rename (Regex)< 1 %
- Column Splitter< 1 %
- String Replacer< 1 %
- Create Byte Vector< 1 %
- String to Date&Time< 1 %
- Numeric Row Splitter< 1 %
- Sentence Extractor< 1 %
- Strings to Binary Objects< 1 %
Table Row to Variable< 1 %Generic Loop Start< 1 %- Naive Bayes Learner< 1 %
- Naive Bayes Predictor< 1 %
- Logistic Regression Predictor< 1 %
- Edit Numeric Domain< 1 %
- Constant Value Column Filter< 1 %
String Replace (Dictionary)< 1 %- Rule-based Row Filter (Dictionary)< 1 %
- Conditional Box Plot (legacy)< 1 %
- Parallel Chunk End< 1 %
- One Row to Many< 1 %
- Math Formula (Multi Column)< 1 %
Excel Reader (XLS)< 1 %Loop End< 1 %- Tree Ensemble Predictor< 1 %
- String to URI< 1 %
Variable to Table Column< 1 %- ARFF Reader< 1 %
- Java Snippet< 1 %
- Chunk Loop Start< 1 %
- Hierarchical Clustering< 1 %
Cell Replacer< 1 %Number To String< 1 %- Denormalizer< 1 %
Excel Reader (XLS)< 1 %- Term to String< 1 %
- Fingerprints< 1 %
- RDKit Fingerprint< 1 %
- Y-Scrambler< 1 %
- Range Filter< 1 %
Database Connection Table Reader< 1 %- Java Edit Variable< 1 %
- Feature Selection Loop Start (2:2)< 1 %
- X-Aggregator< 1 %
K Nearest Neighbor< 1 %PCA Inversion< 1 %- Logistic Regression Learner< 1 %
- Association Rule Learner< 1 %
- PCA< 1 %
- Expand Bit Vector< 1 %
- Case Converter< 1 %
Cell Splitter< 1 %- Cell Splitter By Position< 1 %
- Column Auto Type Cast< 1 %
- Column Combiner< 1 %
- Column Comparator< 1 %
- Column Renamer (Dictionary)< 1 %
- Column Merger< 1 %
- Table Validator< 1 %
- Table Validator (Reference)< 1 %
- Edit Nominal Domain< 1 %
- Edit Nominal Domain (Dictionary)< 1 %
- Extract Missing Value Cause< 1 %
- Filter Apply< 1 %
- Nominal Value Row Splitter< 1 %
- Numeric Binner (PMML)< 1 %
- One to Many (PMML)< 1 %
- Denormalizer (PMML)< 1 %
- Normalizer (PMML)< 1 %
- Top k Row Filter< 1 %
- Numeric Outliers (Apply)< 1 %
- End IF< 1 %
Merge Variables< 1 %- Data Generator< 1 %
- HiLite Table (legacy)< 1 %
- Lift Chart (legacy)< 1 %
Color Appender< 1 %- Size Appender< 1 %
- ROC Curve (legacy)< 1 %
- Parallel Chunk Start< 1 %
- One Rule Inserter< 1 %
- MoSS MCSS Molecule Similarity< 1 %
- Geo-Coordinate Row Filter< 1 %
- Strings to Document< 1 %
- Column Selection Configuration< 1 %
- Column Filter (legacy)< 1 %
- Column Selection (legacy)< 1 %
- Table View (JavaScript)< 1 %
- Container Input (Row)< 1 %
- Container Input (Table)< 1 %
- Parameter Optimization Loop End< 1 %
- Date&Time to String< 1 %
- Extract Time Window (legacy)< 1 %
- Pareto Ranking< 1 %
- URL to File Path< 1 %
- Table Reader< 1 %
- Fuzzy c-Means< 1 %
- DBSCAN< 1 %
- Linear Correlation< 1 %
- Ungroup< 1 %
- Box Plot (legacy)< 1 %
- Distance Matrix Calculate< 1 %
- Image Converter< 1 %
- Window Loop Start< 1 %
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